Simply uploading code won't explain the platform's inner workings—and it could introduce more serious issues.
”—or prevented from receiving the kind of prominence that they actually deserve. But they may be disappointed by the complexity of untangling how the platform really operates.
Another issue is that Twitter uses machine learning to guide many decisions. For instance, Twitter trains numerous machine learning models to help decide which posts to prioritize on users’ feeds based on a dizzying number of factors. These models cannot be inspected like regular code; they need to be tested in an environment that replicates the real world as closely as possible.
The machine learning models that Twitter uses are still only part of the picture, because the entire system also reacts to real-time user behavior in complex ways. If users are particularly interested in a certain news story, then related tweets will naturally get amplified. “Twitter is a socio-technical system,” says a second Twitter source. “It is responsive to human behavior.
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